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WeibullFit |
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WeibullFit |
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»Click here to display Table of Contents«
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WeibullFit |
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WeibullFit |
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Generates Weibull distribution parameter estimates and confidence intervals. |
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Syntax |
a, b, aCI, bCI = WeibullFit(Points) |
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Arguments |
Name |
Description |
Points |
A vector of positive data points. |
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Outputs |
Name |
Description |
a |
Estimate of the scale parameter. A scalar. |
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b |
Estimate of the shape parameter. A scalar. |
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aCI |
95% confidence interval of the estimate of a. A two-element row vector containing the lower and upper bounds of the confidence interval. |
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bCI |
95% confidence interval of the estimate of b. A two-element row vector containing the lower and upper bounds of the confidence interval. |
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Example 1 |
For a given data set, find a, b and the confidence intervals, assuming a Weibull distribution. |
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Syntax |
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a, b, aCI, bCI = WeibullFit([1.8669,1.3169,1.9167,1.6618]) |
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Results |
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a= 1.7888 |
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b= 9.6421 |
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aCI = 1.6084 1.9894 |
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bCI = 4.1228 22.551 |
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Comments |
The Weibull distribution does not have a standard parameterization. The form used here has the following PDF: f(x) = (b/a) * (x/a)^(b-1) * e^[-(x/a)^b] |
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See Also: |
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